pith. sign in

Integrity report for Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:1805.00778 · pith:2018:RPJDW2G23B66W3UWSFH4Y364QE

0Critical
0Advisory
0Detectors run
Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/RPJDW2G2/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.